Periscope mounted hyperspectral sensors for improved situational awareness Navy SBIR FY2009.1 Sol No.: Navy SBIR FY2009.1 Topic No.: N091-055 Topic Title: Periscope mounted hyperspectral sensors for improved situational awareness Proposal No.: N091-055-0075 Firm: Opto-Knowledge Systems, Inc. (OKSI) 19805 Hamilton Ave Torrance, California 90502-1341 Contact: Nahum Gat Phone: (310) 756-0520 Web Site: http://www.oksi.com Abstract: OKSI will start with sensors it already built to conduct measurements in order to optimize its sensor design and algorithms for use in a submarine mast (Phase I). Subsequently, OKSI will design (Phase I Option) and build (Phase II) a mast-like brassboard based system, which will be tested and improved to provide optimal results (Phase II). Specifically, OKSI will use its existing VNIR and SWIR hyperspectral sensors to collect maritime scene data of targets subjected to a variety of characteristic environmental conditions related to marine water, atmosphere, and weather, including aerosols, target-sensor-sun angles, humidity, marine conditions, etc. These measurements, which OKSI will conduct at a naval facility, will be used with existing in-house hyperspectral target detection and identification algorithms to investigate target detection and identification performance in the unique maritime environment. The Phase I results will lead to an optimized hyperspectral sensor design (hardware and software) for use in a submarine mast. OKSI's miniature hyperspectral sensor will serve as a basis for a sensor package that will be tested subsequently in a mast-like brassboard under more stressing conditions. OKSI will design (Option), build, and test (Phase II) this deployable sensor package, with remote terminal for control and visualization. Benefits: Hyperspectral capability can improve the Navy's ability to detect and identify marine targets under stressing conditions. The sensor can be used for cueing a high-resolution imaging system for interrogating suspected objects in the scene (that otherwise would not be detectable). The technology to be developed under this program will also support activities in UAV-based remote sensing for precision farming. Return